RiskEcon® Lab for Decision Metrics @ Courant Institute of Mathematical Sciences, New York University Information

The focus of RiskEcon® Lab @ Courant is to facilitate the development of software, analytics tools, and semantic libraries that employ high-dimensional datasets to integrate conventional data with web-enabled demographic, biometric, psychometric and sociometric data from innovative sources, by applying a range of computational and analytical methods to commercial, consumer and population-related societal trends, focusing primarily on research and development (R&D). Our goal is to integrate web-enabled crowdsourcing with machine learning, data-mining, and text-mining, in order to promote research fundamental to large-scale, real world questions, employing applied computational statistics, and robust and scalable data analytic solutions. RiskEcon® Lab's primary role is to enable, facilitate and coordinate academic research focusing on these patterns and trends, via the development of commercially-viable, analytic applications employing computational statistical tools in conjunction with innovative and non-traditional data structures. In addition, the lab's activities involve the advancement of applied mathematical statistics and computational economics, through interdisciplinary post-doctoral, postgraduate, graduate research and education in data science and social computing. RiskEcon® Lab for Decision Metrics was established in 2011 at Courant Institute of Mathematical Sciences, an independent division of New York University (NYU). Courant is considered to be one of the world’s leading mathematics educational and scientific research centers, and has been ranked first in research in applied mathematics. RiskEcon® Lab is the cornerstone of the Computational Economics and Algorithmic Data Analytics (CEcADA) cooperative at New York University, established concurrently in 2011.